Researchers study AI recursive self-improvement risks

Recursive self-improvement allows AI models to modify their own code, run training experiments, or act as graders to generate smarter versions of themselves. While recent experiments show AI automating parts of its own development, researchers note that models still struggle with human-level judgment, creative problem-solving, and avoiding reward hacking. Consequently, an uncontrolled intelligence explosion remains theoretical until models can reliably verify their own improvements. Open article →